F. Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, E. Teeling, S. Puechmaille
{"title":"标记丢失会对多州模型中的人口统计率估算造成严重偏差:利用模拟数据集和经验数据集进行的案例研究","authors":"F. Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, E. Teeling, S. Puechmaille","doi":"10.24072/pcjournal.348","DOIUrl":null,"url":null,"abstract":"1. The development of methods for individual identification in wild species and the refinement of Capture-Mark-Recapture (CMR) models over the past few decades have greatly improved the assessment of population demographic rates to address ecological and conservation questions. In particular, multi-state models, which offer flexibility in analysing complex study systems, have gained popularity within the ecological community. In this study, we focus on the issue of mark loss and the associated recycling of remarked individuals, which requires further exploration given the increasing use of these models. 2. To fill this knowledge gap, we employed a wide range of simulation scenarios that reflect commonly encountered real case studies, drawing inspiration from the","PeriodicalId":74413,"journal":{"name":"Peer community journal","volume":"16 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets\",\"authors\":\"F. Touzalin, Eric J. Petit, Emmanuelle Cam, Claire Stagier, E. Teeling, S. Puechmaille\",\"doi\":\"10.24072/pcjournal.348\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"1. The development of methods for individual identification in wild species and the refinement of Capture-Mark-Recapture (CMR) models over the past few decades have greatly improved the assessment of population demographic rates to address ecological and conservation questions. In particular, multi-state models, which offer flexibility in analysing complex study systems, have gained popularity within the ecological community. In this study, we focus on the issue of mark loss and the associated recycling of remarked individuals, which requires further exploration given the increasing use of these models. 2. To fill this knowledge gap, we employed a wide range of simulation scenarios that reflect commonly encountered real case studies, drawing inspiration from the\",\"PeriodicalId\":74413,\"journal\":{\"name\":\"Peer community journal\",\"volume\":\"16 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Peer community journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24072/pcjournal.348\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Peer community journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24072/pcjournal.348","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets
1. The development of methods for individual identification in wild species and the refinement of Capture-Mark-Recapture (CMR) models over the past few decades have greatly improved the assessment of population demographic rates to address ecological and conservation questions. In particular, multi-state models, which offer flexibility in analysing complex study systems, have gained popularity within the ecological community. In this study, we focus on the issue of mark loss and the associated recycling of remarked individuals, which requires further exploration given the increasing use of these models. 2. To fill this knowledge gap, we employed a wide range of simulation scenarios that reflect commonly encountered real case studies, drawing inspiration from the